جست‌وجوی استاد و پژوهشگر

Ana Ferreiraمشاهده پروفایل

استاد

• Geosciences
• Geophysics
• Seismology
• +۵ مورد دیگر

Professor Ana Ferreira is a leading seismologist at University College London, focusing on deep Earth structure and earthquake source processes. Her research integrates seismic and geodetic data to understand planetary dynamics from the surface to the lowermost mantle. Her work includes pioneering seismic tomography, such as the SGLOBE-rani 3D anisotropy model, and earthquake source analysis using InSAR and normal mode data. She leads the Seismological Laboratory and teaches Seismology II and Field Geophysics. Recent projects include the UPFLOW experiment, which deployed 49 ocean bottom seismometers in the Atlantic, and studies on Greenland ice sheet evolution and Tonga volcanic eruptions. Her EU-funded research emphasizes multidisciplinary data integration and numerical modeling. Key article trends cover mantle anisotropy, global tomography, earthquake source inversion, cosmology-inspired machine learning, and ocean bottom seismology applications in geodynamics and cryospheric processes.

Jordan Cheerمشاهده پروفایل

استاد

• Active Noise Control
• Active Vibration Control
• Smart Structures for Noise and Vibration Control
• +۳ مورد دیگر

Professor Jordan Cheer holds a Royal Academy of Engineering Research Chair in Smart Acoustic Control Technologies at the University of Southampton's Institute of Sound and Vibration Research (ISVR). His research focuses on active control of noise and vibration, including smart structures and metamaterials. He is an Associate Editor for Journal of the Acoustical Society of America and Subject Editor for Journal of Sound and Vibration . Education: BMus (Tonmeister) in Music and Sound Recording, University of Surrey (2008) MSc in Sound and Vibration, ISVR, University of Southampton (2009) PhD in Active Control of Automobile Cabin Acoustics, ISVR, University of Southampton (2012) Research Interests: Active Noise/Vibration Control, Smart Structures, Acoustic Black Holes, and Metamaterials. Current projects include the BAE Systems-funded Smart Acoustic Control Technologies Chair and the IN-NOVA MSCA Doctoral Network. Recent Work Trends: Publications emphasize neural network controllers, head-tracking systems, and metamaterial applications. Patents focus on vibration damping and acoustic control devices. Awards: Royal Academy of Engineering Research Chair (2024) Grants & Labs: Leads projects funded by EPSRC, MOD, and industry partners. Collaborates with teams like the Southampton Marine and Maritime Institute and the Centre for Defence and Security Research.

Charles G. Smithمشاهده پروفایل

استاد

• Quantum Physics
• Nanotechnology
• Semiconductor Devices
• +۷ مورد دیگر

Professor Charles G. Smith is a prominent academic in quantum physics and nanotechnology at the University of Cambridge's Cavendish Laboratory, affiliated with the Ray Dolby Centre for Quantum Information and Control. His research focuses on semiconductor nano-devices, quantum transport, and hybrid superconductor-semiconductor systems. He pioneered work on GaAs quantum dots, single-electron charge measurement techniques, and cryogenic scanning probe methods. Smith has developed novel low-temperature measurement tools and contributed to carbon-based nanoelectronics and graphene research. He leads major grants, including EPSRC projects on quantum integrated circuits and many-body localization. He founded Cavendish-Kinetics and Cambridge Lab on Chip, leveraging his nano-mechanical and microfluidic innovations. His work bridges fundamental physics with scalable quantum technologies. Education & Research Expertise: PhD in Physics (Implied by career trajectory) Extensive post-1985 contributions to nano-device physics Research Highlights: Quantum dot arrays and cryogenic multiplexing for high-throughput analysis Hybrid superconductor-semiconductor devices for quantum applications Graphene-based electronics and magnetoresistance phenomena Scalable quantum integrated circuits and error mitigation strategies Grant Leadership & Industry Impact: EPSRC Grant EP/S019324/1: Scaling quantum devices Program Grant EP/R029075/1: Non-Ergodic Quantum Manipulation Two spin-out companies commercializing nano-technology Labs & Facilities: Active in Cavendish Laboratory’s cutting-edge nanofabrication and cryogenics facilities, supporting large-scale quantum device integration.

Ernesto Elias Vidal Rosasمشاهده پروفایل

مدرس

• Neuroimaging
• Brain-computer interfaces
• Medical optics imaging
• +۲ مورد دیگر

Dr. Ernesto Elias Vidal Rosas is a Lecturer at the School of Electronics and Computer Science, University of Southampton. Previously, he was a Postdoctoral Researcher at UCL Medical Physics and Biomedical Engineering Department. He specializes in neuroimaging and optical technologies with extensive expertise in near-infrared spectroscopy (NIRS), diffuse optical tomography (DOT), and wearable brain imaging systems. He is currently accepting PhD students. Research Focus: Dr. Vidal-Rosas leads research in neuroimaging methodologies and brain-computer interfaces. His work emphasizes wearable technologies for clinical and home-based monitoring, with applications spanning from neonatal care to motor rehabilitation. Key research domains include: Development of high-density diffuse optical tomography (HD-DOT) systems Integration of EEG and fNIRS for brain-computer interfaces Real-time processing algorithms for neurofeedback applications Non-invasive monitoring of therapeutic responses in oncology He is currently involved in the Horizon Europe PUREMIND project focused on preventing mental illness through multimodal biomarker analysis. Academic Activities: Actively advises PhD candidates in Computer Science and teaches undergraduate courses including Healthcare Technology Design (ELEC2231) and Digital Control System Design (ELEC3206). His pedagogical research includes developing virtual tools for engineering education. Affiliations: Member of the Digital Health and Biomedical Engineering research group and the Institute for Life Sciences at Southampton.

Sean Andersonمشاهده پروفایل

مدرس ارشد

• Bioinspired Robotics
• Adaptive and Optimal Control
• System Identification
• +۳ مورد دیگر

Dr Sean Anderson is a Senior Lecturer at the Department of Automatic Control and Systems Engineering , University of Sheffield , with over 15 years of experience in interdisciplinary research spanning robotics, control systems, and computational biology. He earned his MEng and PhD from the University of Sheffield, focusing on control systems and chemical engineering. Education: MEng in Control Systems Engineering, University of Sheffield (2001) PhD in Chemical and Process Engineering, University of Sheffield (2005) Research Interests include: Bioinspired robotics Adaptive and optimal control in biological systems Nonlinear system identification Computational neuroscience Acoustic and visual sensor fusion for localization His recent publications highlight innovations in robotic localization in hazardous environments, interpretable deep learning for control systems, acoustic sensing technologies, and data-driven modeling of complex systems. Key projects involve autonomous navigation in pipe networks, turbulence modeling, and biomedical signal processing. Grants and Funding: He has secured major grants from EU H2020 (£4M), EU FP7 (£2.9M), and EPSRC (£5.7M), focusing on bioinspired control algorithms, robotic safety, and infrastructure assessment. Teaching: He leads the ACS61011 Deep Learning module, emphasizing practical applications in robotics and signal processing.

Jon Barkerمشاهده پروفایل

استاد

• Noise-Robust Speech Processing
• Machine Listening
• Computational Modeling of Human Hearing
• +۴ مورد دیگر

Professor Jon Barker is a faculty member at the University of Sheffield , where he holds a Personal Chair in the School of Computer Science . He leads the Speech and Hearing (SpandH) research group and co-founded the CHiME international workshop series on robust speech recognition. Education : PhD in Computer Science (University of Sheffield, 1999); BA in Electrical and Information Sciences (Cambridge University). Research Focus : His work bridges machine listening and human auditory perception , with key contributions to noise-robust speech recognition , speech intelligibility prediction , and hearing aid signal processing for speech and music. Recent projects include the Clarity Challenges and Cadenza Challenges , large-scale machine learning initiatives to improve accessibility for hearing-impaired users. Publication Trends : Recent articles emphasize machine learning for hearing aid optimization , dysarthric speech recognition , audio-visual integration , and music demixing algorithms . Collaborations span speech processing, psychoacoustics, and biomedical engineering. Scientific Awards : EURASIP Best Paper Award (2009) ISCA Best Paper Award (2008) Grants and Leadership : He has secured major EPSRC grants including EnhanceMusic (2022-2026) and Challenges to Revolutionise Hearing Device Processing (2019-2025). He co-led the TAPAS Marie Curie Training Network (2017-2022) and led projects like AV-COGHEAR (2015-2018) and CHiME (2009-2012). Labs and Teams : Barker collaborates closely with the Speech and Hearing Research Group and contributes to international initiatives like the CHiME Workshop . His lab develops open datasets such as the Clarity Speech Corpus and Audio-Visual Lombard Corpus .

• Scientific Computing
• GPU Computing
• Signal Processing
• +۵ مورد دیگر

Professor Wes Armour is a Professor of Scientific Computing at the University of Oxford and serves as the Associate Head of Department for Research in the Department of Engineering Science. He previously directed the Oxford e-Research Centre, an interdisciplinary research center within the Engineering Science Department. With over £31 million secured as PI or Co-I, his work spans supercomputing, signal processing, machine learning, computational fluid dynamics, and protein crystallography. Professor Armour's research focuses on extracting science from data through fundamental challenges in modeling, simulation, and data processing. His work draws from numerical analysis, signal processing, and machine learning to develop technologies enabling future scientific discoveries, particularly for the Square Kilometre Array (SKA) telescope. Key interests include GPU computing, high performance computing, and machine learning applications across diverse domains from radio astronomy to finance. As Director and Principal Investigator of JADE and JADE2, a 700-GPU machine, he established the UK's first national High Performance Computer facility dedicated to advancing Artificial Intelligence and Machine Learning. His research group has pioneered GPU applications across multiple fields, including Square Kilometre Array data processing, protein crystallography, and graphene simulations. Current projects span energy-efficient machine learning, stock price prediction in finance, prime number prediction in cryptography, and multi-modal CCTV data analysis. Professor Armour has been instrumental in developing real-time signal processing techniques for astronomical observations, including the ARTEMIS system for millisecond radio transient detection. His publications demonstrate consistent innovation in GPU-accelerated computing dating back to early work in 2008 on accelerating conjugate gradient routines for electron transport in graphene.

Dimitrios Anagnostouمشاهده پروفایل

دانشیار

• Antennas
• Microwave Components
• Electromagnetics
• +۷ مورد دیگر

Dr. Dimitrios Anagnostou is an Associate Professor at Heriot Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems (ISSS). He holds a Marie Skłodowska-Curie Fellowship and leads research in reconfigurable antennas, metamaterials, and biomedical sensing. He earned his PhD from the University of New Mexico (2005), followed by postdoctoral work at Georgia Tech and faculty roles at SDSMT before joining Heriot Watt in 2016. His research focuses on electromagnetic devices for aerospace, defense, and healthcare applications, including reconfigurable antennas, metamaterials, and AI-driven radar systems. He has published 169 papers and received 15+ awards, including the IEEE John D. Kraus Antenna Award and DARPA Young Faculty Award. Dr. Anagnostou serves as an Associate Editor for IEEE Transactions on Antennas and Propagation and actively contributes to conference committees. His lab specializes in antenna arrays, radar sensing, and functional materials like vanadium dioxide (VO₂). He supervises PhD students and supports interdisciplinary projects in sustainable RF electronics and medical imaging.

Jaswinder Lotaمشاهده پروفایل

پژوهشگر

• Signal Processing
• Circuits and Systems
• Wireless Communication
• +۷ مورد دیگر

Dr. Jaswinder Lota is a Reader in Engineering at the University of East London , School of Architecture, Computing and Engineering, Department of Engineering & Construction. He is also a Visiting Academic at University College London’s Department of Electronic and Electrical Engineering, and a Chartered Engineer with extensive industry and academic experience. Education: BSc BEng MEng PGCert HE PhD Research Interests: Dr. Lota specializes in signal processing, circuits and systems, wireless communication, and their applications in radar systems (weather/military), low-power sustainable networks beyond 5G/6G (robotics, automation, healthcare), and electronic technologies for hydrogen propulsion. His work integrates AI-driven channel modeling and impulsive noise analysis. Scientific Awards: IEEE CAS Society Certificate of Appreciation (2019) Grants and Collaborations: He has secured significant funding, including a £2.5K International Research Collaboration Award (2016), £2.5K Research Internship Award (2015), £76K Impact Grant (2014), and a £7M MoD-funded project (1999-2004). Collaborators include UCL and NYU. Leadership: Dr. Lota leads the Smart Cities Research group at UEL and contributed to the REF 2021 submission. He has served as Associate Editor for IEEE TCAS I and Guest Editor for multiple IEEE journals.

• Biomedical Imaging
• Machine Learning
• Biomedical Engineering
• +۳ مورد دیگر

Chenxu Li is an active researcher in Biomedical Engineering, focusing on biomedical imaging and blood flow monitoring technologies. Their work integrates machine learning with optical sensing systems using SPAD cameras for improved temporal resolution in deep tissue analysis. Research output highlights include: Development of a fiber-based ultra-high speed diffuse speckle contrast analysis system for deep blood flow sensing (2025) Implementation of deep learning in two-layer DCS analytical models with SPAD arrays for cerebral blood flow monitoring (2025) Contributions align with UN Sustainable Development Goals related to health and technological innovation. Collaborations include Li, D. and Wu, J. on machine learning approaches for biomedical imaging.

• Thermal Emission
• Terahertz Photonics
• 2D Materials
• +۶ مورد دیگر

Said Ergoktas is a Lecturer in the Department of Physics NanoBioPhotonics at the University of Bath. His research focuses on engineering thermal emission and terahertz light using 2D materials, metamaterials, and bioinspired structures with topological design. He explores applications in topological optoelectronics, radiative cooling, and thermal camouflage. Ergoktas holds a PhD in Materials from the University of Manchester (2021). Education: Doctor of Philosophy in Materials, University of Manchester (2021) Research Interests include: Control of light through advanced material systems Development of photonic platforms for practical applications Integration of topological principles in photonics Recent publications highlight advancements in terahertz wave control, thermal emission modulation, and energy storage device analysis. He actively contributes to peer review for journals like Nature Communications and is a member of professional organizations including the Royal Microscopy Society and IOP.

• Ultra-Low-Power Embedded Systems
• RFID and Backscatter Sensors
• Wireless Sensor Networks
• +۵ مورد دیگر

Spyridon Daskalakis is an Assistant Professor at Heriot-Watt University's School of Engineering & Physical Sciences, where he works within the Institute of Sensors, Signals & Systems. His research focuses on next-generation wireless communication systems and ultra-low-power embedded technologies. Dr. Daskalakis earned his Ph.D. from Heriot-Watt University's Microwaves and Antenna Engineering Group following undergraduate and master's studies at the Technical University of Crete's School of Electrical and Computer Engineering. Prior to his academic career, he served as a Senior Electromagnetic Compatibility Engineer at Cirrus Logic and contributed to satellite communications projects at Celestia UK. His research spans ultra-low-power embedded systems , RFID/backscatter sensors , RF energy harvesting , and low-cost wireless agricultural sensors . Current projects emphasize Bluetooth and cellular network integration, software-defined radios, and millimeter-wave communications for sustainable IoT applications that support UN Sustainable Development Goals related to affordable clean energy and responsible consumption. Dr. Daskalakis contributes to the Microwaves and Antenna Engineering Group, a globally recognized research unit specializing in physical-layer wireless systems. His work demonstrates significant impact through high citation rates, particularly in millimeter-wave backscatter communications and ambient RF energy harvesting technologies. He maintains an active professional presence through his personal website www.daskalakispiros.com and LinkedIn, while fostering student development through collaborative research projects focused on real-world wireless communication challenges.

• Antenna Engineering
• Microwave Technology
• RF Systems
• +۳ مورد دیگر

Zhishu Qu is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on reconfigurable antenna systems, particularly leveraging gallium-based liquid metals to enable dynamic beam steering, frequency agility, and phase control. She explores applications in millimeter-wave communications, LEO satellite systems, and phased array configurations. Key contributions include innovations in transmitarray unit cells, substrate integrated waveguide (SIW) phase shifters, and adaptive antenna designs. Her work spans theoretical analysis of antenna performance limits and practical implementations of liquid metal actuation in RF components. Research interests also encompass microwave engineering, electromagnetic compatibility, and next-generation wireless infrastructure. Current trends in her publications emphasize miniaturization, low-loss solutions, and reconfigurability for 5G and beyond. Notable research areas include: Beamforming algorithms for satellite communications Liquid metal integration in RF systems Millimeter-wave phased array optimization Adaptive antenna pattern reconfiguration Publications since 2020 demonstrate sustained contributions to reconfigurable antenna architectures, with recent work (2024-2025) focusing on beam switchable antennas and distributed beamforming schemes.

Patrick Millerمشاهده پروفایل

استاد

• Marine Mammals
• Behavioral Ecology
• Bioacoustics
• +۴ مورد دیگر

Patrick Miller is a Professor in the School of Biology at University of St Andrews , with affiliations to the Scottish Oceans Institute , Sea Mammal Research Unit , and Institute of Behavioural and Neural Sciences . He leads research on the communication and behavioral ecology of marine mammals , focusing on how anthropogenic activities like naval sonar impact cetacean behavior and physiology. His work utilizes advanced tools such as hydrophone arrays and animal-attached tags to study species including sperm whales , northern bottlenose whales , and humpback whales . Research Interests include: Behavioral Ecology of marine mammals Bioacoustics and echolocation studies Impact of Underwater Noise on cetaceans Physiological Adaptation to marine environments Conservation Biology of endangered species Marine Technology development Article Trends show expertise in acoustic disturbance , foraging strategies , and whale vocalizations , with recent studies on sonar effects, dive capabilities, and behavioral responses to environmental stressors. Scientific Awards include the Kobe Award (2013) . Advisory Roles involve collaborations with institutions like the University of Tokyo (visiting professor) and European Commission (Marie Curie Fellowship). Projects include 3S3 Behavioral Response Studies (2015–2016) and Off-Range Beaked Whale Studies (ORBS) (2016–2017). Media Contributions highlight his work on whale conservation and naval sonar impacts .

• Astrophysics
• Radio Pulsars
• Neutron Stars
• +۴ مورد دیگر

Benjamin Stappers is a Professor of Astrophysics at the University of Manchester's Jodrell Bank Centre for Astrophysics within the School of Physics and Astronomy. His research focuses on radio pulsars, neutron stars, and rapid radio transients. He is part of the European Pulsar Timing Array (EPTA) and International Pulsar Timing Array (IPTA), which aim to detect nanohertz gravitational waves from early universe processes. He co-leads the transients project for LOFAR and heads the pulsar science group for the Square Kilometre Array (SKA). Research interests include using pulsars as probes of gravity and the interstellar medium, and expanding pulsar population studies via LOFAR surveys. His work involves hardware/software development for radio astronomy data analysis. Publications focus on pulsar timing, transients, and gravitational wave detection, with recent work exploring millisecond pulsars and radio transients. Awards include contributions to the Square Kilometre Array's development.